rv (version 0.949)

rvbern: Generate a Random Vector from a Bernoulli Sampling Model

Description

rvbern generates a random vector where each simulation comes from a Bernoulli sampling distribution.

Usage

rvbern(n=1, prob, logical=FALSE)

Arguments

n

number of random scalars to draw

prob

probability of ``success"; may be a random vector itself

logical

logical; return a logical random variable instead

Value

• A random vector (an rv object) of length n.

Details

rvbern is a special case of rvbinom with the argument size=1.

If logical is TRUE, the function returns a logical random variable which has TRUE for 1, FALSE for 0. (The printed summary of this object is slightly different from a regular continuous numeric random variable.)

References

Kerman, Jouni and Gelman, Andrew. Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Technical report, Columbia University, New York.

Examples

rvbern(10, prob=0.5)
  rvbinom(10, size=1, prob=0.5) # Equivalent
  print(rvbern(1, 0.5))
  print(rvbern(1, 0.5, logical=TRUE)) # won't show the quantiles
  print(as.logical(rvbern(1, 0.5))) # equivalent